PPC Automation Case Study: +53% Positive Search Term Performance for Dental Artistry

The situation

Dental Artistry had years of Google Ads history — structure in place, but optimization lagging and tracking gaps after a domain migration. The account carried an oversized negative keyword list that had grown without discipline, quietly blocking viable search terms and making performance feel inconsistent month to month. The practice wanted responsive media buying leadership plus a system that surfaced waste automatically — especially search terms spending budget within a month with no conversions.

The insight

Local healthcare PPC fails when negatives become a junk drawer. Lists that never get audited protect against past mistakes but starve campaigns of current demand. The fix is not deleting negatives blindly — it is AI-assisted filtering, categorized lists, and alerts that queue terms for brand review instead of silent exclusion. Dental buyers search by procedure and urgency (implants, emergency, sedation). Architecture must match those intents while automation catches drift before it becomes expensive.

What we deployed

Negative keyword list rebuild Audited and restructured the giant negative list — removed conflicts, categorized by intent, and rebuilt lists so campaigns could compete for qualified local search without repeating past waste.

AI-assisted negative filtering Deployed automation to flag and filter negative keyword candidates from search term reports — human review on anything that touches brand or high-value procedures, machine speed on obvious junk.

Spend alerts for zero-conversion terms Built alerting for search terms consuming budget within a rolling month window without conversions — listed for monthly review with the brand instead of silent bleed.

Consultation model with Media Pirate Transitioned to consultation-based service: Dental Artistry's in-house Media Pirate runs day-to-day buys; UNI alerting and architecture reviews keep the account measurable and on cadence.

Results

Positive search term performance improved approximately 53% after the negative architecture and alert system went live. Monthly reviews now have a clear queue — terms to scale, terms to negate, terms to test — instead of guessing from aggregate CPL. The practice reports more consistent results and measurable confidence in where budget lands.

Why it worked

Negatives need governance, not growth A list that only expands eventually blocks revenue. Structured rebuild plus AI filtering keeps protection without suffocation.

Alerts turn optimization into a process Zero-conversion spend surfacing automatically means the brand reviews real dollars at risk — not a spreadsheet pulled once a quarter.

Consultation scales when tooling is embedded Media Pirate in-house plus UNI automation is the durable model — they own execution; we own the system that keeps waste visible.

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